Rotation invariant iris feature extraction using Gaussian Markov random fields with non-separable wavelet

Neurocomputing

Volumn 73, Issue 4-6, 2010, Pages 883-894

  Huang, Jing ^a,b   You, Xinge ^a   Yuan, Yuan ^c   Yang, Feng ^b   Lin, Lin ^b  

^a HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

^b SOUTHERN MEDICAL UNIVERSITY   (China)

^c ASTON UNIVERSITY   (United Kingdom)

Author keywords

Iris recognition; Kernel Fisher classifiers; Markov random fields; Non separable wavelet transform

Indexed keywords

CONVENTIONAL METHODS; ERROR RATE; FEATURE VECTORS; GAUSSIAN MARKOV RANDOM FIELD; INITIAL ANGLE; IRIS FEATURE EXTRACTION; IRIS RECOGNITION; IRIS RECOGNITION SYSTEMS; KERNEL FISHER; MARKOV RANDOM FIELDS; ORTHOGONAL WAVELETS; ROTATION INVARIANCE; ROTATION INVARIANT; VERGENCES;

BIOMETRICS; CLASSIFIERS; FACE RECOGNITION; FEATURE EXTRACTION; OPTICAL COLLIMATORS; WAVELET TRANSFORMS;

ROTATION;

ACCURACY; ARTICLE; AUTOMATED PATTERN RECOGNITION; CLASSIFIER; CONTROLLED STUDY; GAUSSIAN MARKOV RANDOM FIELDS; IMAGE PROCESSING; IMAGE QUALITY; IRIS; KERNEL FISHER CLASSIFIER; MATHEMATICAL COMPUTING; OPTICAL ROTATION; PATTERN RECOGNITION; PRIORITY JOURNAL; RELIABILITY; VISION;

EID: 75749093884     PISSN: 09252312     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neucom.2009.09.016     Document Type: Article

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